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README.md

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+
+---
+tags:
+- autotrain
+- image-classification
+base_model: google/efficientnet-b0
+widget:
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
+  example_title: Tiger
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
+  example_title: Teapot
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
+  example_title: Palace
+datasets:
+- verytuffcat/recaptcha-dataset
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Image Classification
+
+## Validation Metrics
+No validation metrics available

config.json

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+{
+  "_name_or_path": "google/efficientnet-b0",
+  "_num_labels": 12,
+  "architectures": [
+    "EfficientNetForImageClassification"
+  ],
+  "batch_norm_eps": 0.001,
+  "batch_norm_momentum": 0.99,
+  "depth_coefficient": 1.0,
+  "depth_divisor": 8,
+  "depthwise_padding": [],
+  "drop_connect_rate": 0.2,
+  "dropout_rate": 0.2,
+  "expand_ratios": [
+    1,
+    6,
+    6,
+    6,
+    6,
+    6,
+    6
+  ],
+  "hidden_act": "swish",
+  "hidden_dim": 1280,
+  "id2label": {
+    "0": "bicycle",
+    "1": "bridge",
+    "2": "bus",
+    "3": "car",
+    "4": "chimney",
+    "5": "crosswalk",
+    "6": "hydrant",
+    "7": "motorcycle",
+    "8": "mountain",
+    "9": "other",
+    "10": "palm",
+    "11": "traffic light"
+  },
+  "image_size": 224,
+  "in_channels": [
+    32,
+    16,
+    24,
+    40,
+    80,
+    112,
+    192
+  ],
+  "initializer_range": 0.02,
+  "kernel_sizes": [
+    3,
+    3,
+    5,
+    3,
+    5,
+    5,
+    3
+  ],
+  "label2id": {
+    "bicycle": 0,
+    "bridge": 1,
+    "bus": 2,
+    "car": 3,
+    "chimney": 4,
+    "crosswalk": 5,
+    "hydrant": 6,
+    "motorcycle": 7,
+    "mountain": 8,
+    "other": 9,
+    "palm": 10,
+    "traffic light": 11
+  },
+  "model_type": "efficientnet",
+  "num_block_repeats": [
+    1,
+    2,
+    2,
+    3,
+    3,
+    4,
+    1
+  ],
+  "num_channels": 3,
+  "num_hidden_layers": 64,
+  "out_channels": [
+    16,
+    24,
+    40,
+    80,
+    112,
+    192,
+    320
+  ],
+  "out_features": null,
+  "pooling_type": "mean",
+  "problem_type": "single_label_classification",
+  "squeeze_expansion_ratio": 0.25,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4",
+    "stage5",
+    "stage6",
+    "stage7"
+  ],
+  "strides": [
+    1,
+    2,
+    2,
+    2,
+    1,
+    2,
+    1
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.2",
+  "width_coefficient": 1.0
+}

model.safetensors

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preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 289,
+    "width": 289
+  },
+  "do_center_crop": false,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "EfficientNetImageProcessor",
+  "image_std": [
+    0.47853944,
+    0.4732864,
+    0.47434163
+  ],
+  "include_top": true,
+  "resample": 0,
+  "rescale_factor": 0.00392156862745098,
+  "rescale_offset": false,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

runs/Dec13_16-18-27_r-verytuffcat-test-vnuzenv5-ce6bc-uacj4/events.out.tfevents.1734106709.r-verytuffcat-test-vnuzenv5-ce6bc-uacj4.137.0

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+size 30159

training_args.bin

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training_params.json

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+{
+    "data_path": "verytuffcat/recaptcha-dataset",
+    "model": "google/efficientnet-b0",
+    "username": "verytuffcat",
+    "lr": 5e-05,
+    "epochs": 20,
+    "batch_size": 8,
+    "warmup_ratio": 0.1,
+    "gradient_accumulation": 1,
+    "optimizer": "adamw_torch",
+    "scheduler": "linear",
+    "weight_decay": 0.0,
+    "max_grad_norm": 1.0,
+    "seed": 42,
+    "train_split": "train",
+    "valid_split": null,
+    "logging_steps": -1,
+    "project_name": "autotrain-92k0x-fko2p",
+    "auto_find_batch_size": false,
+    "mixed_precision": "fp16",
+    "save_total_limit": 1,
+    "push_to_hub": true,
+    "eval_strategy": "epoch",
+    "image_column": "image",
+    "target_column": "label",
+    "log": "tensorboard",
+    "early_stopping_patience": 5,
+    "early_stopping_threshold": 0.01
+}